Simulating realistic Document summarization parameters (25,000 in / 600 out with 10% cache reuse). Gemma 4 31B Instruct delivers a 81% cost reduction over GLM-5.3 (Z.ai).
| Traffic Volume Tier | Gemma 4 31B Instruct Monthly | GLM-5.3 (Z.ai) Monthly | Monthly Savings by picking Gemma 4 31B Instruct |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $6.70 | $34.79 | Save $28.09 / mo |
| 10,000 reqs/mo (Small App) | $67.00 | $347.90 | Save $280.90 / mo |
| 100,000 reqs/mo (Growth Production) | $670.00 | $3,479.00 | Save $2,809.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $6,700.00 | $34,790.00 | Save $28,090.00 / mo |
Gemma 4 31B Instruct is 81% cheaper for Document summarization workloads. At standard Document summarization parameter ratios (25,000 input tokens, 600 output tokens, 10% cache hit), Gemma 4 31B Instruct costs $0.0067 per request compared to $0.0348 on GLM-5.3 (Z.ai).
Gemma 4 31B Instruct offers a context window of 128,000 tokens (max output: 8,192), while GLM-5.3 (Z.ai) offers 1,048,576 tokens (max output: 131,072).
At 100,000 requests per month, using Gemma 4 31B Instruct saves $2,809.00 every month (or $33,708.00 annually) compared to GLM-5.3 (Z.ai).
Long-context models pay off here — compare price per 1M tokens at your true document size. Summarize once, store the result; don't re-summarize unchanged documents. For batch backfills, nightly jobs can use cache-friendly request ordering.